Overview

Dataset statistics

Number of variables34
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory272.0 B

Variable types

Numeric30
Categorical4

Alerts

f_27 has a high cardinality: 9979 distinct values High cardinality
df_index is highly correlated with idHigh correlation
id is highly correlated with df_indexHigh correlation
df_index is highly correlated with idHigh correlation
id is highly correlated with df_indexHigh correlation
f_27 is uniformly distributed Uniform
df_index has unique values Unique
id has unique values Unique
f_00 has unique values Unique
f_01 has unique values Unique
f_02 has unique values Unique
f_03 has unique values Unique
f_04 has unique values Unique
f_05 has unique values Unique
f_06 has unique values Unique
f_19 has unique values Unique
f_20 has unique values Unique
f_21 has unique values Unique
f_22 has unique values Unique
f_23 has unique values Unique
f_24 has unique values Unique
f_25 has unique values Unique
f_26 has unique values Unique
f_28 has unique values Unique
f_07 has 1774 (17.7%) zeros Zeros
f_08 has 1574 (15.7%) zeros Zeros
f_09 has 1150 (11.5%) zeros Zeros
f_10 has 1556 (15.6%) zeros Zeros
f_11 has 2169 (21.7%) zeros Zeros
f_12 has 708 (7.1%) zeros Zeros
f_13 has 1146 (11.5%) zeros Zeros
f_14 has 2640 (26.4%) zeros Zeros
f_15 has 1473 (14.7%) zeros Zeros
f_16 has 1500 (15.0%) zeros Zeros
f_17 has 1867 (18.7%) zeros Zeros
f_18 has 1580 (15.8%) zeros Zeros

Reproduction

Analysis started2022-08-20 15:54:03.400156
Analysis finished2022-08-20 15:57:07.005278
Duration3 minutes and 3.61 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

df_index
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean453159.353
Minimum28
Maximum899910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:07.180661image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile47057.2
Q1224008
median460552.5
Q3681010.5
95-th percentile855987.6
Maximum899910
Range899882
Interquartile range (IQR)457002.5

Descriptive statistics

Standard deviation261066.0654
Coefficient of variation (CV)0.5761021232
Kurtosis-1.216578954
Mean453159.353
Median Absolute Deviation (MAD)228153
Skewness-0.0186558117
Sum4531593530
Variance6.815549052 × 1010
MonotonicityNot monotonic
2022-08-20T15:57:07.384094image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6407651
 
< 0.1%
2182951
 
< 0.1%
8826041
 
< 0.1%
8992051
 
< 0.1%
1162451
 
< 0.1%
6828831
 
< 0.1%
8534531
 
< 0.1%
8997581
 
< 0.1%
6016381
 
< 0.1%
3918911
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
281
< 0.1%
321
< 0.1%
2851
< 0.1%
4291
< 0.1%
4661
< 0.1%
4801
< 0.1%
4931
< 0.1%
5891
< 0.1%
6241
< 0.1%
6821
< 0.1%
ValueCountFrequency (%)
8999101
< 0.1%
8997771
< 0.1%
8997581
< 0.1%
8997551
< 0.1%
8996251
< 0.1%
8995121
< 0.1%
8994921
< 0.1%
8994501
< 0.1%
8993401
< 0.1%
8992171
< 0.1%

id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean453159.353
Minimum28
Maximum899910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:07.595641image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile47057.2
Q1224008
median460552.5
Q3681010.5
95-th percentile855987.6
Maximum899910
Range899882
Interquartile range (IQR)457002.5

Descriptive statistics

Standard deviation261066.0654
Coefficient of variation (CV)0.5761021232
Kurtosis-1.216578954
Mean453159.353
Median Absolute Deviation (MAD)228153
Skewness-0.0186558117
Sum4531593530
Variance6.815549052 × 1010
MonotonicityNot monotonic
2022-08-20T15:57:07.796220image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6407651
 
< 0.1%
2182951
 
< 0.1%
8826041
 
< 0.1%
8992051
 
< 0.1%
1162451
 
< 0.1%
6828831
 
< 0.1%
8534531
 
< 0.1%
8997581
 
< 0.1%
6016381
 
< 0.1%
3918911
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
281
< 0.1%
321
< 0.1%
2851
< 0.1%
4291
< 0.1%
4661
< 0.1%
4801
< 0.1%
4931
< 0.1%
5891
< 0.1%
6241
< 0.1%
6821
< 0.1%
ValueCountFrequency (%)
8999101
< 0.1%
8997771
< 0.1%
8997581
< 0.1%
8997551
< 0.1%
8996251
< 0.1%
8995121
< 0.1%
8994921
< 0.1%
8994501
< 0.1%
8993401
< 0.1%
8992171
< 0.1%

f_00
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000261068664
Minimum-3.90811759
Maximum3.475070996
Zeros0
Zeros (%)0.0%
Negative5043
Negative (%)50.4%
Memory size78.2 KiB
2022-08-20T15:57:08.002854image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-3.90811759
5-th percentile-1.593697795
Q1-0.6716253186
median-0.009818065126
Q30.6603526772
95-th percentile1.646256645
Maximum3.475070996
Range7.383188586
Interquartile range (IQR)1.331977996

Descriptive statistics

Standard deviation0.9881581609
Coefficient of variation (CV)3785.050821
Kurtosis0.0532220237
Mean0.000261068664
Median Absolute Deviation (MAD)0.6657785512
Skewness0.03577843125
Sum2.61068664
Variance0.976456551
MonotonicityNot monotonic
2022-08-20T15:57:08.232821image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.65411473091
 
< 0.1%
0.68867356711
 
< 0.1%
0.14877234811
 
< 0.1%
1.5752336811
 
< 0.1%
-0.0017993276471
 
< 0.1%
1.1467300871
 
< 0.1%
-0.61391187711
 
< 0.1%
0.62494406371
 
< 0.1%
0.73286240891
 
< 0.1%
0.019258415561
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-3.908117591
< 0.1%
-3.7818204911
< 0.1%
-3.7748046311
< 0.1%
-3.6481643381
< 0.1%
-3.5964487951
< 0.1%
-3.5053896541
< 0.1%
-3.4698928851
< 0.1%
-3.342099981
< 0.1%
-3.3081862471
< 0.1%
-3.3081537431
< 0.1%
ValueCountFrequency (%)
3.4750709961
< 0.1%
3.3809021291
< 0.1%
3.3496628531
< 0.1%
3.3461273271
< 0.1%
3.3321528341
< 0.1%
3.3042854361
< 0.1%
3.1682569111
< 0.1%
3.1615051181
< 0.1%
3.120653831
< 0.1%
3.0750264481
< 0.1%

f_01
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004933932711
Minimum-4.167641728
Maximum3.386648707
Zeros0
Zeros (%)0.0%
Negative5007
Negative (%)50.1%
Memory size78.2 KiB
2022-08-20T15:57:08.512822image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-4.167641728
5-th percentile-1.640095422
Q1-0.672617041
median-0.002431928025
Q30.6764018125
95-th percentile1.66467683
Maximum3.386648707
Range7.554290435
Interquartile range (IQR)1.349018854

Descriptive statistics

Standard deviation1.000353457
Coefficient of variation (CV)2027.497163
Kurtosis-0.008479333259
Mean0.0004933932711
Median Absolute Deviation (MAD)0.6734678758
Skewness-0.009393296967
Sum4.933932711
Variance1.00070704
MonotonicityNot monotonic
2022-08-20T15:57:08.720595image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.18754221011
 
< 0.1%
0.64965206721
 
< 0.1%
-0.35541783661
 
< 0.1%
0.57450073661
 
< 0.1%
0.19065616061
 
< 0.1%
-1.0248723371
 
< 0.1%
0.44921547831
 
< 0.1%
-0.10347836661
 
< 0.1%
0.30507261621
 
< 0.1%
-0.57671672011
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-4.1676417281
< 0.1%
-3.5897740411
< 0.1%
-3.4752460291
< 0.1%
-3.4209180381
< 0.1%
-3.4147661161
< 0.1%
-3.4144040141
< 0.1%
-3.3328413431
< 0.1%
-3.3063406271
< 0.1%
-3.2924293411
< 0.1%
-3.2789657331
< 0.1%
ValueCountFrequency (%)
3.3866487071
< 0.1%
3.234657271
< 0.1%
3.2325285691
< 0.1%
3.2039331551
< 0.1%
3.1882413071
< 0.1%
3.1634246531
< 0.1%
3.147861431
< 0.1%
3.1037694621
< 0.1%
3.0998832291
< 0.1%
3.0715832741
< 0.1%

f_02
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.007142809749
Minimum-3.66805035
Maximum3.679970976
Zeros0
Zeros (%)0.0%
Negative5005
Negative (%)50.0%
Memory size78.2 KiB
2022-08-20T15:57:08.947957image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-3.66805035
5-th percentile-1.638234345
Q1-0.6633642179
median-0.0007352493083
Q30.6476815822
95-th percentile1.634106266
Maximum3.679970976
Range7.348021326
Interquartile range (IQR)1.3110458

Descriptive statistics

Standard deviation0.9943426843
Coefficient of variation (CV)-139.2088995
Kurtosis0.06287819274
Mean-0.007142809749
Median Absolute Deviation (MAD)0.6562490149
Skewness-0.01784228503
Sum-71.42809749
Variance0.9887173739
MonotonicityNot monotonic
2022-08-20T15:57:09.158209image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8365976111
 
< 0.1%
2.2620603821
 
< 0.1%
0.57509773481
 
< 0.1%
-0.48724261061
 
< 0.1%
-0.56779072141
 
< 0.1%
-1.3580065181
 
< 0.1%
0.0736842241
 
< 0.1%
0.43577385911
 
< 0.1%
-1.1515303961
 
< 0.1%
0.72370331981
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-3.668050351
< 0.1%
-3.4625175561
< 0.1%
-3.386030891
< 0.1%
-3.3270878431
< 0.1%
-3.223438091
< 0.1%
-3.219346931
< 0.1%
-3.2182917551
< 0.1%
-3.1985322361
< 0.1%
-3.1929814551
< 0.1%
-3.1550561941
< 0.1%
ValueCountFrequency (%)
3.6799709761
< 0.1%
3.4394681371
< 0.1%
3.2014902551
< 0.1%
3.1068356871
< 0.1%
3.0705288181
< 0.1%
3.0482981641
< 0.1%
3.0423879611
< 0.1%
3.0277500071
< 0.1%
2.9915879681
< 0.1%
2.9855155711
< 0.1%

f_03
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001475095452
Minimum-4.148729434
Maximum3.744084411
Zeros0
Zeros (%)0.0%
Negative4981
Negative (%)49.8%
Memory size78.2 KiB
2022-08-20T15:57:09.390188image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-4.148729434
5-th percentile-1.641253427
Q1-0.6782124403
median0.005082214871
Q30.6922715986
95-th percentile1.614670238
Maximum3.744084411
Range7.892813846
Interquartile range (IQR)1.370484039

Descriptive statistics

Standard deviation1.006260192
Coefficient of variation (CV)-682.1661546
Kurtosis0.0003461089173
Mean-0.001475095452
Median Absolute Deviation (MAD)0.6849026368
Skewness-0.01646274506
Sum-14.75095452
Variance1.012559575
MonotonicityNot monotonic
2022-08-20T15:57:09.657126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.8070055281
 
< 0.1%
0.76418915591
 
< 0.1%
0.21634830351
 
< 0.1%
0.79150103731
 
< 0.1%
-1.4339567981
 
< 0.1%
-0.57723587751
 
< 0.1%
1.568018991
 
< 0.1%
0.021367134951
 
< 0.1%
-0.35626335571
 
< 0.1%
0.21434772841
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-4.1487294341
< 0.1%
-3.9714537141
< 0.1%
-3.8538019921
< 0.1%
-3.724558241
< 0.1%
-3.4270827261
< 0.1%
-3.3923402541
< 0.1%
-3.3768504911
< 0.1%
-3.3322399651
< 0.1%
-3.3048650431
< 0.1%
-3.2997478181
< 0.1%
ValueCountFrequency (%)
3.7440844111
< 0.1%
3.4644178611
< 0.1%
3.4013548821
< 0.1%
3.2840122251
< 0.1%
3.2325211051
< 0.1%
3.2155760571
< 0.1%
3.1979645971
< 0.1%
3.1721760111
< 0.1%
3.1545272231
< 0.1%
3.0786178411
< 0.1%

f_04
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01450175875
Minimum-3.486122813
Maximum3.952962252
Zeros0
Zeros (%)0.0%
Negative4961
Negative (%)49.6%
Memory size78.2 KiB
2022-08-20T15:57:10.232304image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-3.486122813
5-th percentile-1.648454533
Q1-0.6558896192
median0.01312636525
Q30.7019466541
95-th percentile1.661449
Maximum3.952962252
Range7.439085065
Interquartile range (IQR)1.357836273

Descriptive statistics

Standard deviation1.001657475
Coefficient of variation (CV)69.07144799
Kurtosis0.01636154051
Mean0.01450175875
Median Absolute Deviation (MAD)0.6782390578
Skewness-0.007365665499
Sum145.0175875
Variance1.003317698
MonotonicityNot monotonic
2022-08-20T15:57:10.448304image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.064516347451
 
< 0.1%
-2.1010308971
 
< 0.1%
-1.1413794141
 
< 0.1%
-1.1810189011
 
< 0.1%
-0.73633797981
 
< 0.1%
-0.72597430711
 
< 0.1%
-0.71150009961
 
< 0.1%
-0.20574840081
 
< 0.1%
0.9709971941
 
< 0.1%
0.34757803541
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-3.4861228131
< 0.1%
-3.354595071
< 0.1%
-3.2920989761
< 0.1%
-3.2312624421
< 0.1%
-3.2183580821
< 0.1%
-3.1777647211
< 0.1%
-3.1653759161
< 0.1%
-3.1540956671
< 0.1%
-3.1300596021
< 0.1%
-3.1101488831
< 0.1%
ValueCountFrequency (%)
3.9529622521
< 0.1%
3.7580410321
< 0.1%
3.5652036331
< 0.1%
3.463461171
< 0.1%
3.4028870851
< 0.1%
3.2972192611
< 0.1%
3.2200866891
< 0.1%
3.1732712331
< 0.1%
3.1654009241
< 0.1%
3.0976833611
< 0.1%

f_05
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01021012238
Minimum-3.574665924
Maximum3.9253556
Zeros0
Zeros (%)0.0%
Negative5009
Negative (%)50.1%
Memory size78.2 KiB
2022-08-20T15:57:10.667738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-3.574665924
5-th percentile-1.635857633
Q1-0.6732590404
median-0.00163409053
Q30.700655779
95-th percentile1.705343895
Maximum3.9253556
Range7.500021524
Interquartile range (IQR)1.373914819

Descriptive statistics

Standard deviation1.006094511
Coefficient of variation (CV)98.53892767
Kurtosis-0.05278203301
Mean0.01021012238
Median Absolute Deviation (MAD)0.6844882657
Skewness0.02503608254
Sum102.1012238
Variance1.012226165
MonotonicityNot monotonic
2022-08-20T15:57:10.898015image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.91280410541
 
< 0.1%
-0.8619444491
 
< 0.1%
0.29698078281
 
< 0.1%
-0.064175655221
 
< 0.1%
1.0228423741
 
< 0.1%
-0.1201279771
 
< 0.1%
-1.379639241
 
< 0.1%
-0.073081215261
 
< 0.1%
-0.96880483191
 
< 0.1%
0.5335870241
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-3.5746659241
< 0.1%
-3.4299753031
< 0.1%
-3.399173251
< 0.1%
-3.3002969941
< 0.1%
-3.227946591
< 0.1%
-3.2150855711
< 0.1%
-3.1807425911
< 0.1%
-3.1596867041
< 0.1%
-3.1264217251
< 0.1%
-3.1110147221
< 0.1%
ValueCountFrequency (%)
3.92535561
< 0.1%
3.8967383321
< 0.1%
3.4211408881
< 0.1%
3.1592410761
< 0.1%
3.1308293491
< 0.1%
3.1283185521
< 0.1%
3.1267240261
< 0.1%
3.1043865191
< 0.1%
3.0813128771
< 0.1%
3.0310676341
< 0.1%

f_06
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01527404624
Minimum-3.530459708
Maximum3.790267052
Zeros0
Zeros (%)0.0%
Negative5051
Negative (%)50.5%
Memory size78.2 KiB
2022-08-20T15:57:11.118912image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-3.530459708
5-th percentile-1.644277858
Q1-0.6963976398
median-0.01300284944
Q30.6560828707
95-th percentile1.601767704
Maximum3.790267052
Range7.320726759
Interquartile range (IQR)1.352480511

Descriptive statistics

Standard deviation0.9897599688
Coefficient of variation (CV)-64.80011604
Kurtosis-0.02897284812
Mean-0.01527404624
Median Absolute Deviation (MAD)0.6756969707
Skewness0.004743355344
Sum-152.7404624
Variance0.9796247958
MonotonicityNot monotonic
2022-08-20T15:57:11.326592image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.89499125651
 
< 0.1%
1.6986168681
 
< 0.1%
0.49043804911
 
< 0.1%
0.90406162491
 
< 0.1%
-0.27783059191
 
< 0.1%
-1.494424911
 
< 0.1%
-1.0339661481
 
< 0.1%
-1.1052536641
 
< 0.1%
-1.8768348171
 
< 0.1%
-1.6727334411
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-3.5304597081
< 0.1%
-3.4460663441
< 0.1%
-3.3845606491
< 0.1%
-3.207367921
< 0.1%
-3.1873288071
< 0.1%
-3.1373907211
< 0.1%
-3.1290342321
< 0.1%
-3.0216850541
< 0.1%
-2.9883012921
< 0.1%
-2.9754686451
< 0.1%
ValueCountFrequency (%)
3.7902670521
< 0.1%
3.7114618011
< 0.1%
3.5689217431
< 0.1%
3.4735231971
< 0.1%
3.4695409231
< 0.1%
3.4604134681
< 0.1%
3.2330834461
< 0.1%
3.2261078071
< 0.1%
3.1526674751
< 0.1%
3.1277876841
< 0.1%

f_07
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0386
Minimum0
Maximum12
Zeros1774
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:11.513573image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.642674611
Coefficient of variation (CV)0.8057856427
Kurtosis1.020615768
Mean2.0386
Median Absolute Deviation (MAD)1
Skewness0.926492405
Sum20386
Variance2.698379878
MonotonicityNot monotonic
2022-08-20T15:57:11.670667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
12589
25.9%
22247
22.5%
01774
17.7%
31623
16.2%
4963
 
9.6%
5455
 
4.5%
6213
 
2.1%
784
 
0.8%
838
 
0.4%
98
 
0.1%
Other values (3)6
 
0.1%
ValueCountFrequency (%)
01774
17.7%
12589
25.9%
22247
22.5%
31623
16.2%
4963
 
9.6%
5455
 
4.5%
6213
 
2.1%
784
 
0.8%
838
 
0.4%
98
 
0.1%
ValueCountFrequency (%)
122
 
< 0.1%
111
 
< 0.1%
103
 
< 0.1%
98
 
0.1%
838
 
0.4%
784
 
0.8%
6213
 
2.1%
5455
 
4.5%
4963
9.6%
31623
16.2%

f_08
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0818
Minimum0
Maximum12
Zeros1574
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:11.819732image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.610207451
Coefficient of variation (CV)0.7734688498
Kurtosis1.045051093
Mean2.0818
Median Absolute Deviation (MAD)1
Skewness0.8985080612
Sum20818
Variance2.592768037
MonotonicityNot monotonic
2022-08-20T15:57:11.978137image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
12607
26.1%
22355
23.5%
31673
16.7%
01574
15.7%
4984
 
9.8%
5493
 
4.9%
6196
 
2.0%
766
 
0.7%
836
 
0.4%
910
 
0.1%
Other values (3)6
 
0.1%
ValueCountFrequency (%)
01574
15.7%
12607
26.1%
22355
23.5%
31673
16.7%
4984
 
9.8%
5493
 
4.9%
6196
 
2.0%
766
 
0.7%
836
 
0.4%
910
 
0.1%
ValueCountFrequency (%)
121
 
< 0.1%
113
 
< 0.1%
102
 
< 0.1%
910
 
0.1%
836
 
0.4%
766
 
0.7%
6196
 
2.0%
5493
 
4.9%
4984
9.8%
31673
16.7%

f_09
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3623
Minimum0
Maximum10
Zeros1150
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:12.131276image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.658648191
Coefficient of variation (CV)0.7021327482
Kurtosis0.5804999935
Mean2.3623
Median Absolute Deviation (MAD)1
Skewness0.7642349857
Sum23623
Variance2.751113821
MonotonicityNot monotonic
2022-08-20T15:57:12.280441image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
22468
24.7%
12238
22.4%
31928
19.3%
01150
11.5%
41127
11.3%
5647
 
6.5%
6258
 
2.6%
7119
 
1.2%
848
 
0.5%
913
 
0.1%
ValueCountFrequency (%)
01150
11.5%
12238
22.4%
22468
24.7%
31928
19.3%
41127
11.3%
5647
 
6.5%
6258
 
2.6%
7119
 
1.2%
848
 
0.5%
913
 
0.1%
ValueCountFrequency (%)
104
 
< 0.1%
913
 
0.1%
848
 
0.5%
7119
 
1.2%
6258
 
2.6%
5647
 
6.5%
41127
11.3%
31928
19.3%
22468
24.7%
12238
22.4%

f_10
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1609
Minimum0
Maximum13
Zeros1556
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:12.423111image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.649267473
Coefficient of variation (CV)0.7632317429
Kurtosis0.717682384
Mean2.1609
Median Absolute Deviation (MAD)1
Skewness0.8264097538
Sum21609
Variance2.720083198
MonotonicityNot monotonic
2022-08-20T15:57:12.584373image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
22396
24.0%
12386
23.9%
31737
17.4%
01556
15.6%
41009
10.1%
5515
 
5.1%
6259
 
2.6%
7104
 
1.0%
823
 
0.2%
910
 
0.1%
Other values (2)5
 
0.1%
ValueCountFrequency (%)
01556
15.6%
12386
23.9%
22396
24.0%
31737
17.4%
41009
10.1%
5515
 
5.1%
6259
 
2.6%
7104
 
1.0%
823
 
0.2%
910
 
0.1%
ValueCountFrequency (%)
131
 
< 0.1%
104
 
< 0.1%
910
 
0.1%
823
 
0.2%
7104
 
1.0%
6259
 
2.6%
5515
 
5.1%
41009
10.1%
31737
17.4%
22396
24.0%

f_11
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8003
Minimum0
Maximum10
Zeros2169
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:12.742662image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.537288599
Coefficient of variation (CV)0.8539069037
Kurtosis0.7520371387
Mean1.8003
Median Absolute Deviation (MAD)1
Skewness0.9251172996
Sum18003
Variance2.363256236
MonotonicityNot monotonic
2022-08-20T15:57:12.888767image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
12804
28.0%
22200
22.0%
02169
21.7%
31427
14.3%
4810
 
8.1%
5369
 
3.7%
6138
 
1.4%
765
 
0.7%
813
 
0.1%
94
 
< 0.1%
ValueCountFrequency (%)
02169
21.7%
12804
28.0%
22200
22.0%
31427
14.3%
4810
 
8.1%
5369
 
3.7%
6138
 
1.4%
765
 
0.7%
813
 
0.1%
94
 
< 0.1%
ValueCountFrequency (%)
101
 
< 0.1%
94
 
< 0.1%
813
 
0.1%
765
 
0.7%
6138
 
1.4%
5369
 
3.7%
4810
 
8.1%
31427
14.3%
22200
22.0%
12804
28.0%

f_12
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8328
Minimum0
Maximum13
Zeros708
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:13.052428image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile6
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.759532255
Coefficient of variation (CV)0.6211283023
Kurtosis0.6201811948
Mean2.8328
Median Absolute Deviation (MAD)1
Skewness0.6471871305
Sum28328
Variance3.095953755
MonotonicityNot monotonic
2022-08-20T15:57:13.228693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
22259
22.6%
32157
21.6%
11693
16.9%
41478
14.8%
5948
9.5%
0708
 
7.1%
6475
 
4.8%
7179
 
1.8%
865
 
0.7%
924
 
0.2%
Other values (3)14
 
0.1%
ValueCountFrequency (%)
0708
 
7.1%
11693
16.9%
22259
22.6%
32157
21.6%
41478
14.8%
5948
9.5%
6475
 
4.8%
7179
 
1.8%
865
 
0.7%
924
 
0.2%
ValueCountFrequency (%)
134
 
< 0.1%
113
 
< 0.1%
107
 
0.1%
924
 
0.2%
865
 
0.7%
7179
 
1.8%
6475
 
4.8%
5948
9.5%
41478
14.8%
32157
21.6%

f_13
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2455
Minimum0
Maximum9
Zeros1146
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:13.446533image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.547859599
Coefficient of variation (CV)0.6893162318
Kurtosis0.50890209
Mean2.2455
Median Absolute Deviation (MAD)1
Skewness0.7222726128
Sum22455
Variance2.395869337
MonotonicityNot monotonic
2022-08-20T15:57:13.624605image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
22615
26.2%
12371
23.7%
31937
19.4%
01146
11.5%
41086
10.9%
5523
 
5.2%
6211
 
2.1%
777
 
0.8%
827
 
0.3%
97
 
0.1%
ValueCountFrequency (%)
01146
11.5%
12371
23.7%
22615
26.2%
31937
19.4%
41086
10.9%
5523
 
5.2%
6211
 
2.1%
777
 
0.8%
827
 
0.3%
97
 
0.1%
ValueCountFrequency (%)
97
 
0.1%
827
 
0.3%
777
 
0.8%
6211
 
2.1%
5523
 
5.2%
41086
10.9%
31937
19.4%
22615
26.2%
12371
23.7%
01146
11.5%

f_14
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5015
Minimum0
Maximum10
Zeros2640
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:13.768476image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.360287759
Coefficient of variation (CV)0.9059525537
Kurtosis1.120459778
Mean1.5015
Median Absolute Deviation (MAD)1
Skewness1.010591399
Sum15015
Variance1.850382788
MonotonicityNot monotonic
2022-08-20T15:57:13.916180image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
13092
30.9%
02640
26.4%
22211
22.1%
31177
 
11.8%
4567
 
5.7%
5217
 
2.2%
666
 
0.7%
723
 
0.2%
84
 
< 0.1%
92
 
< 0.1%
ValueCountFrequency (%)
02640
26.4%
13092
30.9%
22211
22.1%
31177
 
11.8%
4567
 
5.7%
5217
 
2.2%
666
 
0.7%
723
 
0.2%
84
 
< 0.1%
92
 
< 0.1%
ValueCountFrequency (%)
101
 
< 0.1%
92
 
< 0.1%
84
 
< 0.1%
723
 
0.2%
666
 
0.7%
5217
 
2.2%
4567
 
5.7%
31177
 
11.8%
22211
22.1%
13092
30.9%

f_15
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1065
Minimum0
Maximum10
Zeros1473
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:14.065524image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.568567433
Coefficient of variation (CV)0.7446320591
Kurtosis0.6343600611
Mean2.1065
Median Absolute Deviation (MAD)1
Skewness0.7879088255
Sum21065
Variance2.46040379
MonotonicityNot monotonic
2022-08-20T15:57:14.211798image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
12537
25.4%
22455
24.6%
31725
17.2%
01473
14.7%
41055
10.5%
5445
 
4.5%
6219
 
2.2%
760
 
0.6%
819
 
0.2%
98
 
0.1%
ValueCountFrequency (%)
01473
14.7%
12537
25.4%
22455
24.6%
31725
17.2%
41055
10.5%
5445
 
4.5%
6219
 
2.2%
760
 
0.6%
819
 
0.2%
98
 
0.1%
ValueCountFrequency (%)
104
 
< 0.1%
98
 
0.1%
819
 
0.2%
760
 
0.6%
6219
 
2.2%
5445
 
4.5%
41055
10.5%
31725
17.2%
22455
24.6%
12537
25.4%

f_16
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0896
Minimum0
Maximum10
Zeros1500
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:14.362307image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.56173485
Coefficient of variation (CV)0.7473845951
Kurtosis0.7539924098
Mean2.0896
Median Absolute Deviation (MAD)1
Skewness0.8096577399
Sum20896
Variance2.439015742
MonotonicityNot monotonic
2022-08-20T15:57:14.513894image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
12528
25.3%
22469
24.7%
31752
17.5%
01500
15.0%
41020
10.2%
5447
 
4.5%
6184
 
1.8%
761
 
0.6%
825
 
0.2%
912
 
0.1%
ValueCountFrequency (%)
01500
15.0%
12528
25.3%
22469
24.7%
31752
17.5%
41020
10.2%
5447
 
4.5%
6184
 
1.8%
761
 
0.6%
825
 
0.2%
912
 
0.1%
ValueCountFrequency (%)
102
 
< 0.1%
912
 
0.1%
825
 
0.2%
761
 
0.6%
6184
 
1.8%
5447
 
4.5%
41020
10.2%
31752
17.5%
22469
24.7%
12528
25.3%

f_17
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8426
Minimum0
Maximum10
Zeros1867
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:14.709281image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.465414612
Coefficient of variation (CV)0.7952971951
Kurtosis0.6009771651
Mean1.8426
Median Absolute Deviation (MAD)1
Skewness0.8248772759
Sum18426
Variance2.147439984
MonotonicityNot monotonic
2022-08-20T15:57:14.852781image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
12839
28.4%
22399
24.0%
01867
18.7%
31564
15.6%
4797
 
8.0%
5365
 
3.6%
6115
 
1.1%
742
 
0.4%
89
 
0.1%
92
 
< 0.1%
ValueCountFrequency (%)
01867
18.7%
12839
28.4%
22399
24.0%
31564
15.6%
4797
 
8.0%
5365
 
3.6%
6115
 
1.1%
742
 
0.4%
89
 
0.1%
92
 
< 0.1%
ValueCountFrequency (%)
101
 
< 0.1%
92
 
< 0.1%
89
 
0.1%
742
 
0.4%
6115
 
1.1%
5365
 
3.6%
4797
 
8.0%
31564
15.6%
22399
24.0%
12839
28.4%

f_18
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0473
Minimum0
Maximum10
Zeros1580
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2022-08-20T15:57:14.998682image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.553674387
Coefficient of variation (CV)0.7588894578
Kurtosis0.6449382417
Mean2.0473
Median Absolute Deviation (MAD)1
Skewness0.8039630641
Sum20473
Variance2.4139041
MonotonicityNot monotonic
2022-08-20T15:57:15.144037image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
12573
25.7%
22449
24.5%
31725
17.2%
01580
15.8%
4936
 
9.4%
5475
 
4.8%
6166
 
1.7%
767
 
0.7%
820
 
0.2%
97
 
0.1%
ValueCountFrequency (%)
01580
15.8%
12573
25.7%
22449
24.5%
31725
17.2%
4936
 
9.4%
5475
 
4.8%
6166
 
1.7%
767
 
0.7%
820
 
0.2%
97
 
0.1%
ValueCountFrequency (%)
102
 
< 0.1%
97
 
0.1%
820
 
0.2%
767
 
0.7%
6166
 
1.7%
5475
 
4.8%
4936
 
9.4%
31725
17.2%
22449
24.5%
12573
25.7%

f_19
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3245301881
Minimum-7.977850313
Maximum8.802477949
Zeros0
Zeros (%)0.0%
Negative4396
Negative (%)44.0%
Memory size78.2 KiB
2022-08-20T15:57:15.329186image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-7.977850313
5-th percentile-3.488725316
Q1-1.223642573
median0.3455499217
Q31.869570387
95-th percentile4.148755925
Maximum8.802477949
Range16.78032826
Interquartile range (IQR)3.093212961

Descriptive statistics

Standard deviation2.32505792
Coefficient of variation (CV)7.16438102
Kurtosis0.04502089948
Mean0.3245301881
Median Absolute Deviation (MAD)1.547351603
Skewness-0.05063956622
Sum3245.301881
Variance5.405894333
MonotonicityNot monotonic
2022-08-20T15:57:15.533920image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.1205946581
 
< 0.1%
1.6218104541
 
< 0.1%
1.2735979331
 
< 0.1%
1.6007097541
 
< 0.1%
1.4851895741
 
< 0.1%
5.2450646081
 
< 0.1%
-2.005169531
 
< 0.1%
2.0868361571
 
< 0.1%
-1.6499408021
 
< 0.1%
1.0766109241
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-7.9778503131
< 0.1%
-7.93040831
< 0.1%
-7.6950900751
< 0.1%
-7.6756992191
< 0.1%
-7.6313092451
< 0.1%
-7.3624472011
< 0.1%
-7.3422742421
< 0.1%
-7.3314064651
< 0.1%
-7.3061398221
< 0.1%
-7.2866552691
< 0.1%
ValueCountFrequency (%)
8.8024779491
< 0.1%
8.3602571411
< 0.1%
8.1622929271
< 0.1%
8.1132829631
< 0.1%
7.9510750651
< 0.1%
7.7668317481
< 0.1%
7.4633160341
< 0.1%
7.4241329171
< 0.1%
7.332566861
< 0.1%
7.3271800161
< 0.1%

f_20
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2261129818
Minimum-8.693532986
Maximum8.574288499
Zeros0
Zeros (%)0.0%
Negative5389
Negative (%)53.9%
Memory size78.2 KiB
2022-08-20T15:57:15.752867image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-8.693532986
5-th percentile-4.129129437
Q1-1.825007094
median-0.2308605956
Q31.388332589
95-th percentile3.735821199
Maximum8.574288499
Range17.26782149
Interquartile range (IQR)3.213339682

Descriptive statistics

Standard deviation2.393163092
Coefficient of variation (CV)-10.58392611
Kurtosis-0.01236771404
Mean-0.2261129818
Median Absolute Deviation (MAD)1.607066392
Skewness0.00991825502
Sum-2261.129818
Variance5.727229586
MonotonicityNot monotonic
2022-08-20T15:57:15.959522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.6510994541
 
< 0.1%
-1.2044957711
 
< 0.1%
-0.7354287491
 
< 0.1%
-0.5319034931
 
< 0.1%
0.047751902251
 
< 0.1%
0.38087495061
 
< 0.1%
6.3150343061
 
< 0.1%
-1.2614918151
 
< 0.1%
-1.7035107681
 
< 0.1%
1.8097424461
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-8.6935329861
< 0.1%
-8.5823155341
< 0.1%
-8.5338457191
< 0.1%
-8.3796290241
< 0.1%
-7.9799245761
< 0.1%
-7.9166686631
< 0.1%
-7.8843181061
< 0.1%
-7.6546178011
< 0.1%
-7.6174607761
< 0.1%
-7.6105508071
< 0.1%
ValueCountFrequency (%)
8.5742884991
< 0.1%
8.2779190771
< 0.1%
8.0656985811
< 0.1%
7.599387971
< 0.1%
7.5913863921
< 0.1%
7.5583589361
< 0.1%
7.4976450051
< 0.1%
7.323174081
< 0.1%
7.1308942161
< 0.1%
7.1203185111
< 0.1%

f_21
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1456890568
Minimum-10.28401511
Maximum9.409668469
Zeros0
Zeros (%)0.0%
Negative5206
Negative (%)52.1%
Memory size78.2 KiB
2022-08-20T15:57:16.178090image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-10.28401511
5-th percentile-4.205387026
Q1-1.790269619
median-0.1243033599
Q31.501699703
95-th percentile3.965803156
Maximum9.409668469
Range19.69368358
Interquartile range (IQR)3.291969322

Descriptive statistics

Standard deviation2.477929408
Coefficient of variation (CV)-17.00834272
Kurtosis0.1339206738
Mean-0.1456890568
Median Absolute Deviation (MAD)1.648534966
Skewness-0.02530348405
Sum-1456.890568
Variance6.140134153
MonotonicityNot monotonic
2022-08-20T15:57:16.399360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.88295744091
 
< 0.1%
-4.7604013071
 
< 0.1%
-2.2644365671
 
< 0.1%
-0.88389427151
 
< 0.1%
-3.2904509511
 
< 0.1%
-1.975135621
 
< 0.1%
5.1456823521
 
< 0.1%
1.9658585481
 
< 0.1%
-0.55596584171
 
< 0.1%
-3.2827206731
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-10.284015111
< 0.1%
-9.8873273451
< 0.1%
-8.5849367911
< 0.1%
-8.4988335351
< 0.1%
-8.465243121
< 0.1%
-8.420127711
< 0.1%
-8.2873620711
< 0.1%
-8.2732728071
< 0.1%
-8.117242261
< 0.1%
-7.9770097881
< 0.1%
ValueCountFrequency (%)
9.4096684691
< 0.1%
9.4061023641
< 0.1%
9.2357077821
< 0.1%
8.6768249371
< 0.1%
8.620011611
< 0.1%
8.1417216331
< 0.1%
7.8633918321
< 0.1%
7.7465365641
< 0.1%
7.7167878911
< 0.1%
7.6840053131
< 0.1%

f_22
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02075145989
Minimum-8.930439584
Maximum8.560262515
Zeros0
Zeros (%)0.0%
Negative4968
Negative (%)49.7%
Memory size78.2 KiB
2022-08-20T15:57:16.622967image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-8.930439584
5-th percentile-4.138465098
Q1-1.667282398
median0.01916495826
Q31.668495012
95-th percentile3.931153943
Maximum8.560262515
Range17.4907021
Interquartile range (IQR)3.33577741

Descriptive statistics

Standard deviation2.446376045
Coefficient of variation (CV)-117.8893465
Kurtosis-0.05734384332
Mean-0.02075145989
Median Absolute Deviation (MAD)1.668045907
Skewness-0.08947668737
Sum-207.5145989
Variance5.984755756
MonotonicityNot monotonic
2022-08-20T15:57:16.826785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7516935941
 
< 0.1%
2.5552116431
 
< 0.1%
-1.2523651361
 
< 0.1%
-5.3031946371
 
< 0.1%
-1.6546756141
 
< 0.1%
5.3082473121
 
< 0.1%
-4.1682444211
 
< 0.1%
-1.9686382791
 
< 0.1%
2.5374231091
 
< 0.1%
0.36376965171
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-8.9304395841
< 0.1%
-8.8999977471
< 0.1%
-8.2630289641
< 0.1%
-8.2327979391
< 0.1%
-7.9128042361
< 0.1%
-7.8066860691
< 0.1%
-7.7964128121
< 0.1%
-7.7120649161
< 0.1%
-7.6547321241
< 0.1%
-7.5476575711
< 0.1%
ValueCountFrequency (%)
8.5602625151
< 0.1%
8.3858121381
< 0.1%
8.1882058261
< 0.1%
8.0854170751
< 0.1%
8.0337845381
< 0.1%
7.9246832641
< 0.1%
7.7895668351
< 0.1%
7.3367974681
< 0.1%
7.2382654391
< 0.1%
7.2368323641
< 0.1%

f_23
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3636633259
Minimum-9.986382535
Maximum9.591950899
Zeros0
Zeros (%)0.0%
Negative5654
Negative (%)56.5%
Memory size78.2 KiB
2022-08-20T15:57:17.049757image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9.986382535
5-th percentile-4.36334667
Q1-1.98246504
median-0.3931992299
Q31.250674033
95-th percentile3.722360243
Maximum9.591950899
Range19.57833343
Interquartile range (IQR)3.233139073

Descriptive statistics

Standard deviation2.449081432
Coefficient of variation (CV)-6.734474601
Kurtosis0.1552416908
Mean-0.3636633259
Median Absolute Deviation (MAD)1.616542973
Skewness0.03194362996
Sum-3636.633259
Variance5.99799986
MonotonicityNot monotonic
2022-08-20T15:57:17.586738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0611128551
 
< 0.1%
-1.2460380021
 
< 0.1%
-1.28858161
 
< 0.1%
-0.78347042081
 
< 0.1%
-1.8330981471
 
< 0.1%
-3.5999564211
 
< 0.1%
0.28419724121
 
< 0.1%
2.0391962681
 
< 0.1%
-2.7323878051
 
< 0.1%
0.13761797171
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-9.9863825351
< 0.1%
-9.3601701881
< 0.1%
-9.2881844041
< 0.1%
-9.1713701961
< 0.1%
-8.8919404341
< 0.1%
-8.7762879561
< 0.1%
-8.7508317721
< 0.1%
-8.5424345441
< 0.1%
-8.2584942851
< 0.1%
-8.1836966191
< 0.1%
ValueCountFrequency (%)
9.5919508991
< 0.1%
8.8394095841
< 0.1%
8.4933237011
< 0.1%
8.4378611611
< 0.1%
8.3572835681
< 0.1%
8.3402496421
< 0.1%
8.2641849461
< 0.1%
8.1752749221
< 0.1%
8.0627864651
< 0.1%
8.0496615771
< 0.1%

f_24
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3240130885
Minimum-8.744320337
Maximum9.695599407
Zeros0
Zeros (%)0.0%
Negative5495
Negative (%)54.9%
Memory size78.2 KiB
2022-08-20T15:57:17.813333image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-8.744320337
5-th percentile-4.26837236
Q1-1.949581942
median-0.2835552184
Q31.304881412
95-th percentile3.535107912
Maximum9.695599407
Range18.43991974
Interquartile range (IQR)3.254463354

Descriptive statistics

Standard deviation2.382672553
Coefficient of variation (CV)-7.353630572
Kurtosis-0.02177519639
Mean-0.3240130885
Median Absolute Deviation (MAD)1.629150942
Skewness-0.02033187667
Sum-3240.130885
Variance5.677128496
MonotonicityNot monotonic
2022-08-20T15:57:18.018700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.42060680381
 
< 0.1%
-2.1503031731
 
< 0.1%
0.36297535071
 
< 0.1%
1.3472111581
 
< 0.1%
-2.4246069411
 
< 0.1%
-1.2460313561
 
< 0.1%
-4.0381918051
 
< 0.1%
-1.8935915271
 
< 0.1%
0.060323778261
 
< 0.1%
0.8987186321
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-8.7443203371
< 0.1%
-8.4249872971
< 0.1%
-8.4124055181
< 0.1%
-8.3747269171
< 0.1%
-8.2218297121
< 0.1%
-8.1951359221
< 0.1%
-7.834627021
< 0.1%
-7.8093310781
< 0.1%
-7.7430348621
< 0.1%
-7.6197255611
< 0.1%
ValueCountFrequency (%)
9.6955994071
< 0.1%
9.4905147981
< 0.1%
8.2276361631
< 0.1%
8.004390321
< 0.1%
7.8877289231
< 0.1%
7.7915590031
< 0.1%
7.2255065441
< 0.1%
7.1822558591
< 0.1%
7.046285561
< 0.1%
6.9184546571
< 0.1%

f_25
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1584934284
Minimum-9.097840445
Maximum8.886404837
Zeros0
Zeros (%)0.0%
Negative4734
Negative (%)47.3%
Memory size78.2 KiB
2022-08-20T15:57:18.246659image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9.097840445
5-th percentile-3.773058509
Q1-1.464709057
median0.152683089
Q31.801773706
95-th percentile4.105764241
Maximum8.886404837
Range17.98424528
Interquartile range (IQR)3.266482763

Descriptive statistics

Standard deviation2.404898477
Coefficient of variation (CV)15.17349016
Kurtosis0.1098957295
Mean0.1584934284
Median Absolute Deviation (MAD)1.630247807
Skewness-0.02210086426
Sum1584.934284
Variance5.783536683
MonotonicityNot monotonic
2022-08-20T15:57:18.521465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.8088979391
 
< 0.1%
0.48521669251
 
< 0.1%
-6.3700978841
 
< 0.1%
0.84943767651
 
< 0.1%
-0.11513280921
 
< 0.1%
2.7689804161
 
< 0.1%
-1.9778131091
 
< 0.1%
-2.4675651631
 
< 0.1%
-0.79971456751
 
< 0.1%
-0.56248477831
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-9.0978404451
< 0.1%
-8.9242932331
< 0.1%
-8.8786087221
< 0.1%
-8.5154307851
< 0.1%
-8.3434009251
< 0.1%
-8.2595705771
< 0.1%
-8.2013328441
< 0.1%
-7.9285679571
< 0.1%
-7.8537939821
< 0.1%
-7.8366286511
< 0.1%
ValueCountFrequency (%)
8.8864048371
< 0.1%
8.8338959471
< 0.1%
8.5748919391
< 0.1%
8.4412471581
< 0.1%
8.415280141
< 0.1%
8.4132643311
< 0.1%
8.4042407141
< 0.1%
8.3536569221
< 0.1%
8.2902439271
< 0.1%
7.9062376161
< 0.1%

f_26
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3701513906
Minimum-10.8326447
Maximum10.33957657
Zeros0
Zeros (%)0.0%
Negative4283
Negative (%)42.8%
Memory size78.2 KiB
2022-08-20T15:57:18.747442image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-10.8326447
5-th percentile-3.800431397
Q1-1.244523137
median0.4273468946
Q32.041384686
95-th percentile4.326613547
Maximum10.33957657
Range21.17222128
Interquartile range (IQR)3.285907823

Descriptive statistics

Standard deviation2.480166337
Coefficient of variation (CV)6.700410697
Kurtosis0.2609677285
Mean0.3701513906
Median Absolute Deviation (MAD)1.636717302
Skewness-0.1419654373
Sum3701.513906
Variance6.15122506
MonotonicityNot monotonic
2022-08-20T15:57:18.948960image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.13867091881
 
< 0.1%
-0.5654842551
 
< 0.1%
-6.050295091
 
< 0.1%
8.1137413431
 
< 0.1%
-2.1154156411
 
< 0.1%
0.33113419951
 
< 0.1%
-1.8080666511
 
< 0.1%
1.4745303131
 
< 0.1%
-3.2925595331
 
< 0.1%
1.732230721
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-10.83264471
< 0.1%
-10.103271421
< 0.1%
-9.8623854051
< 0.1%
-9.6329724131
< 0.1%
-9.6326791751
< 0.1%
-9.4230692291
< 0.1%
-8.7564269771
< 0.1%
-8.6037423081
< 0.1%
-8.4440054921
< 0.1%
-8.373867121
< 0.1%
ValueCountFrequency (%)
10.339576571
< 0.1%
9.4026234091
< 0.1%
9.0056061521
< 0.1%
8.7134221411
< 0.1%
8.6286193261
< 0.1%
8.4560542371
< 0.1%
8.2015916361
< 0.1%
8.1603801491
< 0.1%
8.1137413431
< 0.1%
8.0819712091
< 0.1%

f_27
Categorical

HIGH CARDINALITY
UNIFORM

Distinct9979
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
BBBCCBDEDD
 
2
BBBBBABABE
 
2
ADBABABKCC
 
2
ACACBADRAA
 
2
BBBAAACODB
 
2
Other values (9974)
9990 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9958 ?
Unique (%)99.6%

Sample

1st rowAFBFABESCD
2nd rowABBDABBRCD
3rd rowBCBEABBLBF
4th rowACBFBBEKFD
5th rowAAACABEDBA

Common Values

ValueCountFrequency (%)
BBBCCBDEDD2
 
< 0.1%
BBBBBABABE2
 
< 0.1%
ADBABABKCC2
 
< 0.1%
ACACBADRAA2
 
< 0.1%
BBBAAACODB2
 
< 0.1%
ABBABACDEB2
 
< 0.1%
BBBCABCBDD2
 
< 0.1%
ADBBBBDTBC2
 
< 0.1%
BCBDBBCFBE2
 
< 0.1%
ACBBCACACB2
 
< 0.1%
Other values (9969)9980
99.8%

Length

2022-08-20T15:57:19.133221image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
bbbccbdedd2
 
< 0.1%
acbbabcqad2
 
< 0.1%
abaedaesaa2
 
< 0.1%
bcbbabeccb2
 
< 0.1%
abbbbbbhbf2
 
< 0.1%
agbdaababc2
 
< 0.1%
acbdbadgad2
 
< 0.1%
bbbcbacpdc2
 
< 0.1%
baaabadncb2
 
< 0.1%
bbbbcablbc2
 
< 0.1%
Other values (9969)9980
99.8%

Most occurring characters

ValueCountFrequency (%)
B32483
32.5%
A24849
24.8%
C14663
14.7%
D10429
 
10.4%
E5796
 
5.8%
F3090
 
3.1%
G1634
 
1.6%
H928
 
0.9%
I686
 
0.7%
J549
 
0.5%
Other values (10)4893
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter100000
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B32483
32.5%
A24849
24.8%
C14663
14.7%
D10429
 
10.4%
E5796
 
5.8%
F3090
 
3.1%
G1634
 
1.6%
H928
 
0.9%
I686
 
0.7%
J549
 
0.5%
Other values (10)4893
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
Latin100000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
B32483
32.5%
A24849
24.8%
C14663
14.7%
D10429
 
10.4%
E5796
 
5.8%
F3090
 
3.1%
G1634
 
1.6%
H928
 
0.9%
I686
 
0.7%
J549
 
0.5%
Other values (10)4893
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B32483
32.5%
A24849
24.8%
C14663
14.7%
D10429
 
10.4%
E5796
 
5.8%
F3090
 
3.1%
G1634
 
1.6%
H928
 
0.9%
I686
 
0.7%
J549
 
0.5%
Other values (10)4893
 
4.9%

f_28
Real number (ℝ)

UNIQUE

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.210703626
Minimum-964.7657114
Maximum807.8922762
Zeros0
Zeros (%)0.0%
Negative4977
Negative (%)49.8%
Memory size78.2 KiB
2022-08-20T15:57:19.312942image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-964.7657114
5-th percentile-393.4334907
Q1-161.8704249
median1.593635769
Q3158.3676321
95-th percentile387.9258372
Maximum807.8922762
Range1772.657988
Interquartile range (IQR)320.238057

Descriptive statistics

Standard deviation237.5429115
Coefficient of variation (CV)-107.4512696
Kurtosis-0.02586772552
Mean-2.210703626
Median Absolute Deviation (MAD)159.973902
Skewness-0.04272763451
Sum-22107.03626
Variance56426.63479
MonotonicityNot monotonic
2022-08-20T15:57:19.529780image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-274.99732161
 
< 0.1%
255.83500941
 
< 0.1%
-68.782031511
 
< 0.1%
-120.04010331
 
< 0.1%
-35.441375331
 
< 0.1%
-444.61996561
 
< 0.1%
-418.34456971
 
< 0.1%
-64.870102871
 
< 0.1%
-118.90192841
 
< 0.1%
-71.841329881
 
< 0.1%
Other values (9990)9990
99.9%
ValueCountFrequency (%)
-964.76571141
< 0.1%
-863.31987541
< 0.1%
-841.2411781
< 0.1%
-810.35225741
< 0.1%
-788.81955211
< 0.1%
-787.686221
< 0.1%
-753.64992351
< 0.1%
-746.76400911
< 0.1%
-746.35039711
< 0.1%
-741.92908181
< 0.1%
ValueCountFrequency (%)
807.89227621
< 0.1%
789.34784651
< 0.1%
774.081571
< 0.1%
764.50819521
< 0.1%
737.82819551
< 0.1%
733.18149561
< 0.1%
731.60973171
< 0.1%
721.44030651
< 0.1%
719.64082431
< 0.1%
718.21751181
< 0.1%

f_29
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
0
6575 
1
3425 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
06575
65.8%
13425
34.2%

Length

2022-08-20T15:57:19.778534image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-20T15:57:19.932394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
06575
65.8%
13425
34.2%

Most occurring characters

ValueCountFrequency (%)
06575
65.8%
13425
34.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
06575
65.8%
13425
34.2%

Most occurring scripts

ValueCountFrequency (%)
Common10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
06575
65.8%
13425
34.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
06575
65.8%
13425
34.2%

f_30
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
1
3360 
0
3337 
2
3303 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
13360
33.6%
03337
33.4%
23303
33.0%

Length

2022-08-20T15:57:20.060212image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-20T15:57:20.216575image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
13360
33.6%
03337
33.4%
23303
33.0%

Most occurring characters

ValueCountFrequency (%)
13360
33.6%
03337
33.4%
23303
33.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
13360
33.6%
03337
33.4%
23303
33.0%

Most occurring scripts

ValueCountFrequency (%)
Common10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
13360
33.6%
03337
33.4%
23303
33.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13360
33.6%
03337
33.4%
23303
33.0%

target
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
0
5148 
1
4852 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
05148
51.5%
14852
48.5%

Length

2022-08-20T15:57:20.360523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-20T15:57:20.518767image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
05148
51.5%
14852
48.5%

Most occurring characters

ValueCountFrequency (%)
05148
51.5%
14852
48.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
05148
51.5%
14852
48.5%

Most occurring scripts

ValueCountFrequency (%)
Common10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
05148
51.5%
14852
48.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
05148
51.5%
14852
48.5%

Interactions

2022-08-20T15:57:00.813381image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:05.970266image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:12.738233image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:18.365638image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:24.551520image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:30.436449image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:36.611726image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:42.787292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:48.701423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:54.905386image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:00.771302image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:06.763940image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:13.278744image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:19.166085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:25.224491image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:30.890244image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:36.992649image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:42.816110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:48.424681image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:54.622524image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:00.360404image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:06.372369image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:12.451504image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:18.242214image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:24.477459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:30.478541image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:36.605090image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:42.941288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:48.909755image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:55.056701image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:57:01.006179image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:06.156760image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:12.903348image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:18.589183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:24.835571image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:30.618622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:36.784945image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:42.963574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:48.915708image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:55.092819image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:00.941326image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:06.936272image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:13.603044image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:19.337679image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:25.394948image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:31.066589image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:37.158406image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:42.981977image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:48.667620image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:54.840956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:00.546679image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:06.561077image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:12.638483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:18.461756image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:24.715228image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:30.657783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:36.790591image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:43.120612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:49.083600image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:55.239023image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:57:01.521310image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:06.322696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:13.076673image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:18.768470image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:25.010190image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:30.800419image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:36.962855image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:43.135772image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:49.096034image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:55.274167image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:01.112011image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:07.103723image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:13.824582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:19.516783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:25.569026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:31.255042image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:37.324744image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:43.150153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:48.836361image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:55:55.026179image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:00.722959image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:06.739384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:12.831428image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:18.647195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:24.908122image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:30.835801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:36.973667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:43.302440image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:49.279782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:55.413076image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:57:01.704698image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:06.504488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:13.268371image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:18.969861image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:25.206038image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:30.995600image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:54:37.152839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
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2022-08-20T15:56:24.288006image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:30.278779image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:36.415757image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:42.710065image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:48.710818image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:56:54.861159image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-20T15:57:00.619836image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-08-20T15:57:20.707782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-08-20T15:57:21.132384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's Ï„

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (Ï„) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate Ï„ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. Ï„ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-08-20T15:57:21.486502image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Sample

First rows

df_indexidf_00f_01f_02f_03f_04f_05f_06f_07f_08f_09f_10f_11f_12f_13f_14f_15f_16f_17f_18f_19f_20f_21f_22f_23f_24f_25f_26f_27f_28f_29f_30target
0640765640765-0.654115-0.1875420.836598-1.807006-0.064516-0.9128040.8949913112642111252.120595-2.6510990.8829570.7516941.061113-0.4206071.808898-0.138671AFBFABESCD-274.997322011
1401402401402-0.428402-0.022494-0.5149531.974520-0.8307950.2466190.807783203302021147-1.6021991.127991-2.2259702.4777620.1816260.2146822.397245-4.789675ABBDABBRCD-42.297430010
2317511317511-1.446474-0.174719-0.544586-0.5322111.1299340.4006361.0727231142010051131.0699682.505234-0.1886374.817062-3.019728-0.0937742.3899890.411375BCBEABBLBF-212.501595011
39976899768-0.387494-0.5345590.2088330.478040-0.911534-1.990858-0.0673320321121521311.7511661.0911000.121006-0.968657-3.1143484.074309-1.851752-1.760635ACBFBBEKFD-17.028332021
44911754911752.4896051.1560620.1966370.4860560.855709-0.153833-0.844873113234200024-0.208310-1.128866-0.7593850.929307-1.905671-1.442135-0.5659191.213452AAACABEDBA499.718421011
57870257870251.6212790.010818-1.3929440.364267-0.4372470.213108-1.2553851200561230113.944662-0.957195-2.5163673.234747-1.3101902.739006-0.3622011.178970BABCAABDBC-145.753110020
6495648495648-1.3516780.7232661.7902850.827980-0.335972-1.331384-1.4267622030280150001.8952410.531654-0.142001-0.5912591.815760-4.033341-2.5524191.698855ACBBBABHAD-415.326064021
78127628127620.850037-0.9341640.3541230.6279180.332083-1.6228540.6763404322402312340.5400191.845673-1.5666930.489859-1.548465-1.9648232.158548-0.725956BBBAAAGGCH-109.014602020
87711577711570.2421960.434190-1.1601030.1992250.691538-1.999455-0.119483130323401212-2.2949023.1348122.4072622.373072-3.8910411.9066871.2743952.310252BDBAAAAHEG171.897186121
92409512409511.054373-0.296687-2.1718870.868129-1.2788830.2307831.104537513008010110-0.809960-2.5567490.1829120.838121-0.190722-0.3812441.6031400.773712ACACDABJFD-213.189950021

Last rows

df_indexidf_00f_01f_02f_03f_04f_05f_06f_07f_08f_09f_10f_11f_12f_13f_14f_15f_16f_17f_18f_19f_20f_21f_22f_23f_24f_25f_26f_27f_28f_29f_30target
9990821361821361-0.405622-1.234902-1.7713521.2590360.564703-0.2676800.3071481313342035303.719263-2.2077500.3929411.500450-3.898042-0.5438222.3636812.382779BHBDCBDDDE-101.071797020
99911483621483620.5745010.052032-1.3404001.315743-0.538838-0.346482-0.2871371216034101032.671961-3.0622243.9056401.5567894.172800-2.6813452.371785-1.147456ABABCAFKAB72.305318110
99923931793931791.086497-0.5983450.344347-0.5367060.3583271.050190-0.905134222104512202-0.4476122.201391-1.4579882.459985-2.4770961.370221-0.2534900.053785BDABBBESGC-282.264286021
99937785957785950.974250-1.2750430.4478412.2218250.975897-0.925999-0.1958911222312231153.398023-6.065357-6.7789301.8648641.695519-4.1098192.324181-5.155486BDBCBBEECB130.640584121
99941712971712970.502726-0.5087302.348412-2.3053941.3200670.487735-0.965746334014131133-2.4318813.6087555.459594-5.9488270.0065301.2594191.3534541.504153BDBBCABDBC-12.784695020
99953496353496351.4416490.8299610.125258-2.5920510.2705690.025681-0.4748338353060010401-0.1235081.0729913.157226-2.796266-4.6205552.6132780.7163513.279851BAABEACABB49.950941011
9996534252534252-0.929342-0.060705-1.2773081.013698-1.3891870.670779-0.2510242232322113331.272112-2.2820732.661290-0.321641-1.616683-0.5195492.4247932.317524ABAECBAQBC-202.365206011
99977052377052371.3182570.6472601.754884-2.086880-0.180951-0.290786-1.427704121124201311-1.217738-1.7918190.6084331.7809623.1823333.6789943.0961221.511006BBBECBCNDC0.629866120
99982208892208890.485892-1.284270-0.231266-0.0622010.4165480.2063710.7945502441250223112.255246-1.536591-2.189652-3.766174-6.359946-1.8496032.1139071.807236BDBAABCIAC-76.461265110
99998738008738000.4661431.003651-0.384185-1.0760551.601268-0.566242-0.380132413005142013-1.096719-3.1142152.5049501.634440-1.692010-6.558547-2.0985933.528194BCBADADIDD306.647605021